Enhancing interpretability for Bayesian basket trial designs by effective sample size

Abstract Background There is growing interest in utilizing Bayesian approaches to borrow information across tumor types in basket trials. Several innovative designs, primarily extensions of the Bayesian hierarchical model (BHM), have been proposed to dynamically borrow information based on observed...

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Detalles Bibliográficos

Principais autores:	Xin Chen, Jingyi Zhang, Wenyun Yang, Liyun Jiang, Bosheng Li, Fangrong Yan
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2025-12-01
Series:	BMC Medical Research Methodology
Assuntos:	Basket trial Bayesian clinical trial design Information borrowing Effective sample size Bayesian hierarchical model
Acceso en liña:	https://doi.org/10.1186/s12874-025-02715-x
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